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Cognitive attraction and online misinformation

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  • Alberto Acerbi

    (Eindhoven University of Technology)

Abstract

The spread of online misinformation has gained mainstream attention in recent years. This paper approaches this phenomenon from a cultural evolution and cognitive anthropology perspective, focusing on the idea that some cultural traits can be successful because their content taps into general cognitive preferences. This research involves 260 articles from media outlets included in two authoritative lists of websites known for publishing hoaxes and ‘fake news’, tracking the presence of negative content, threat-related information, presence of sexually related material, elements associated to disgust, minimally counterintuitive elements (and a particular category of them, i.e., violations of essentialist beliefs), and social information, intended as presence of salient social interactions (e.g., gossip, cheating, formation of alliances), and as news about celebrities. The analysis shows that these features are, to a different degree, present in most texts, and thus that general cognitive inclinations may contribute to explain the success of online misinformation. This account can elucidate questions such as whether and why misinformation online is thriving more than accurate information, or the role of ‘fake news’ as a weapon of political propaganda. Online misinformation, while being an umbrella term covering many different phenomena, can be characterised, in this perspective, not as low-quality information that spreads because of the inefficiency of online communication, but as high-quality information that spreads because of its efficiency. The difference is that ‘quality’ is not equated to truthfulness but to psychological appeal.

Suggested Citation

  • Alberto Acerbi, 2019. "Cognitive attraction and online misinformation," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-7, December.
    • Handle: RePEc:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0224-y
    DOI: 10.1057/s41599-019-0224-y
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    References listed on IDEAS

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    1. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    2. Xiaoyan Qiu & Diego F. M. Oliveira & Alireza Sahami Shirazi & Alessandro Flammini & Filippo Menczer, 2017. "Limited individual attention and online virality of low-quality information," Nature Human Behaviour, Nature, vol. 1(7), pages 1-7, July.
    3. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
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    Cited by:

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    2. Mason Youngblood & Joseph M. Stubbersfield & Olivier Morin & Ryan Glassman & Alberto Acerbi, 2023. "Negativity bias in the spread of voter fraud conspiracy theory tweets during the 2020 US election," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    3. Tobia Spampatti & Ulf J. J. Hahnel & Evelina Trutnevyte & Tobias Brosch, 2024. "Psychological inoculation strategies to fight climate disinformation across 12 countries," Nature Human Behaviour, Nature, vol. 8(2), pages 380-398, February.
    4. Ataharul Chowdhury & Khondokar H. Kabir & Abdul-Rahim Abdulai & Md Firoze Alam, 2023. "Systematic Review of Misinformation in Social and Online Media for the Development of an Analytical Framework for Agri-Food Sector," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
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    6. Theiss Bendixen, 2020. "How cultural evolution can inform the science of science communication—and vice versa," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-10, December.

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